Every Step Counts—How Can We Accurately Count Steps with Wearable Sensors During Activities of Daily Living in Individuals with Neurological Conditions?

Wearable sensors provide objective, continuous, and non-invasive quantification of physical activity, with step count serving as one of the most intuitive measures. However, significant gait alterations in individuals with neurological conditions limit the accuracy of step-counting algorithms traine...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Florence Crozat, Johannes Pohl, Chris Easthope Awai, Christoph Michael Bauer, Roman Peter Kuster
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-09-01
Sarja:	Sensors
Aiheet:	accelerometer accuracy activities of daily living algorithm development inertial measurement unit machine learning
Linkit:	https://www.mdpi.com/1424-8220/25/18/5657
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